Overview
ABOUT US
Full job description
ABOUT US Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures, we are a Series-C funded company headquartered in Silicon Valley.
Our Enterprise Data Observability Platform—the first of its kind—helps enterprises build and operate world-class data products by ensuring data is reliable, trusted, and ready to power today’s most critical technologies, including AI, LLMs, Analytics, and DataOps.
Delivered as a SaaS solution, Acceldata is trusted by leading global organizations such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hershey’s, Dun & Bradstreet, and many more.
ABOUT THE ROLE We are seeking a Software Engineer with at least 3 years of experience in distributed systems or data platform development. In this role, you will design, build, and scale components of the Acceldata Open Data Platform (ODP), contributing to open-source technologies and solving real-world challenges in large-scale data infrastructure.
WHY JOIN US At Acceldata, you won’t just be writing code; you’ll be shaping the foundation of modern data platforms used by some of the world’s largest enterprises. You’ll work alongside seasoned engineers and open-source contributors who are passionate about solving complex distributed systems challenges at scale. Every project you take on will directly impact how a data platform is managed, observed, and optimized across hybrid and cloud ecosystems.
This is your chance to build technology that truly matters, software that drives mission-critical pipelines, scales to petabytes, and influences the open-source community at large. We move fast, value creativity, and reward innovation. If you’re looking for a place where your ideas can become real systems and your work can be seen, used, and respected across the data ecosystem, Acceldata is where you belong.
Design, develop, and maintain high-quality software for the Open Source Data Platform.
Collaborate with cross-functional teams to define, design, and implement new features.
Utilize mandatory Linux skills and expertise.
Write clean, well-tested, and efficient code in Java, Python, or Scala.
Participate in code reviews and contribute to architectural discussions.
Debug and resolve technical issues, ensuring optimal performance and stability.
Continuously learn and stay up-to-date with industry best practices and emerging technologies.
Work across diverse environments: Bare Metals, VM, and Kubernetes.
Mandatory proficiency in Linux to facilitate code deployment and execution.
Familiarity with Kubernetes, Docker, and cloud environments is a plus.
Extensive hands-on experience in programming with either Java or Scala and Python.
Developed and prepared project build models associated with Maven, Gradle, or SBT.
Experienced in Github & Nexus management and its use cases.
Strong coding, debugging, and troubleshooting capabilities to resolve issues, enhance software applications, and ensure seamless deployment.
In-depth understanding of fundamental software engineering concepts such as thread/process management, database management, virtualisation, and distributed computing.
Demonstrated expertise in prior projects and contributions, as detailed in the curriculum vitae or resume.
Demonstrated fluency in English communication.
Strong capacity for collaboration with internal teams, external contributors, and the broader open-source community.
Ability to communicate effectively with senior leadership, presenting technical accomplishments and strategic insights.
PREFERRED SKILLS
Contributed to Apache or open source projects
Possess experience with Bigdata stacks or components and deployed applications.
Developed in-house automation for platform management.
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